DADL: A Declarative Description Language for Enterprise Tool Libraries in LLM Agent Systems
2026-05-08T08:51:59Z•9fd64c66f856dfd80033ecd80203bc6e23ab7f935b28af1bdb2f4b990c2abcb6
API integrationCI/build failure analysisDADLLLM agentsagent workflowsaudit automationcode generationdata poisoning riskdocument intelligenceenterprise tool catalogethics governancefull-text indexingknowledge graphproactive coding assistantsrepository context filessecurity implicationssoftware supply chaintraining-data quality
What happened
Batch of CS-SE arXiv papers on LLM agents, developer tooling, and AI-assisted software engineering. Highlights: DADL (Dunkel API Description Language) proposes a declarative YAML for REST integrations and a shared runtime to create versioned Enterprise Tool Libraries (public registry ~1,833 tool defs; Code Mode reduces tool-advertisement context from ≈142k to ≈1k tokens). Other papers: AI-based document intelligence for population-level audit testing; PARNESS, an open-source framework for dynamic agentic research with full-text indexing and a knowledge-graph index; a systematic review mapping
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_se
- Record identifier
- 9fd64c66f856dfd80033ecd80203bc6e23ab7f935b28af1bdb2f4b990c2abcb6
- Enrichment time
- 2026-05-08T08:51:59Z
- AI-assisted enrichment
- Yes
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